Color-changing coating and dry-type transformer anomaly detection method and device

Abstract

The invention discloses a color-changing coating and a dry-type transformer anomaly detection method and device, and relates to the field of power equipment. And the abnormity of the transformer can be visually and timely detected. The dry-type transformer anomaly detection method comprises the following steps: respectively acquiring images of a dry-type transformer of which the surface is coated with a color-changing coating at different moments to obtain a plurality of images; extracting a target area where the dry-type transformer is located in each image, and obtaining color information of the target area at an initial moment; determining the difference between the color information of the initial moment and the color information of the target area at each moment, and obtaining the color information of the target moment when the difference meets a preset condition; and determining the abnormality type of the dry-type transformer according to the color information at the target moment.

Description

Technical Field

[0001] This application relates to the field of power equipment, and particularly to a color-changing coating, a method and device for detecting abnormalities in dry-type transformers. Background Art

[0002] Dry-type transformers are widely used in modern power distribution systems, and the safety of their insulation systems is directly related to the stable operation of the equipment. However, during long-term operation, the insulation materials are affected by various factors such as temperature changes, electric field stress, and environmental humidity, which may lead to local insulation deterioration or overheating, thereby causing failures. Traditional insulation condition monitoring means mainly rely on temperature sensors and partial discharge monitoring equipment, but these means usually require complex installation, calibration, and signal processing, and have high technical requirements for on-site operators. In addition, the concealed characteristics of insulation materials make it difficult to evaluate faults in a timely manner, increasing the difficulty of equipment maintenance. Summary of the Invention

[0003] This application provides a color-changing coating, a method and device for detecting abnormalities in dry-type transformers, which can detect transformer faults in a visual manner, more intuitively and quickly.

[0004] In a first aspect, this application provides a color-changing coating, comprising:

[0005] A color-changing material, and a high-temperature resistant polymer matrix mixed with the color-changing material;

[0006] The color-changing material includes titanium dioxide, nickel oxide, and metal-doped titanium dioxide.

[0007] Preferably, the metal-doped titanium dioxide is aluminum-doped titanium dioxide.

[0008] Preferably, the metal-doped titanium dioxide is magnesium-doped titanium dioxide.

[0009] Preferably, the metal-doped titanium dioxide is zinc-doped titanium dioxide.

[0010] In this embodiment, a color-changing material is composed of titanium dioxide, nickel oxide, and metal-doped titanium dioxide. This color-changing material and the high-temperature resistant polymer matrix are mixed to form a color-changing coating, which can be coated on the surface of an object. This color-changing coating can produce different colors under different temperature and electric field changes, giving users a more intuitive hint.

[0011] In a second aspect, this application provides a method for detecting abnormalities in a dry-type transformer, which is applied to a dry-type transformer with the above-mentioned color-changing coating on its surface. The method includes:

[0012] Collect images of the dry-type transformer with the color-changing coating on its surface at different times to obtain multiple images;

[0013] Extract the target area where the dry-type transformer is located in each image, and obtain the color information of the target area at the initial moment;

[0014] Determine the difference between the color information at the initial moment and the color information of the target area at each moment, and obtain the color information at the target moment when the difference satisfies a preset condition;

[0015] Determine the abnormal type of the dry-type transformer according to the color information at the target moment.

[0016] According to the dry-type transformer abnormal detection method of this embodiment, by collecting images and identifying the color information in the images, the difference between the color information at different moments can be determined. According to this difference, it can be judged whether there is an abnormality in the dry-type transformer and the type of the abnormality, and the detection of the abnormality is simpler and faster.

[0017] In an exemplary embodiment, the determining the abnormal type of the dry-type transformer according to the color information at the target moment includes:

[0018] When the color-changing coating includes aluminum-doped titanium dioxide, if the color information at the target moment is red, it is determined that the abnormal type of the dry-type transformer is temperature abnormality.

[0019] In an exemplary embodiment, based on the foregoing, the determining the abnormal type of the dry-type transformer according to the color information at the target moment includes:

[0020] If the color information at the target moment is yellow, it is determined that the abnormal type of the dry-type transformer is insulation state abnormality.

[0021] In an exemplary embodiment, the determining the abnormal type of the dry-type transformer according to the color information at the target moment includes:

[0022] When the color-changing coating includes magnesium-doped titanium dioxide, if the color information at the target moment is green or blue, it is determined that the abnormal type of the dry-type transformer is temperature abnormality or insulation state abnormality.

[0023] In an exemplary embodiment, the determining the abnormal type of the dry-type transformer according to the color information at the target moment includes;

[0024] When the color-changing coating includes zinc-doped titanium dioxide, if the color information at the target moment is yellow or green, it is determined that the abnormal type of the dry-type transformer is temperature abnormality or insulation state abnormality.

[0025] In a third aspect, the present application provides an abnormal detection device for a dry-type transformer, which is applied to a dry-type transformer with the above-mentioned color-changing coating on its surface. The device includes:

[0026] An image acquisition module, configured to acquire images of the dry-type transformer with the color-changing coating on its surface at different times, so as to obtain multiple images;

[0027] An image feature extraction module, configured to extract the target area where the dry-type transformer is located in each image, and obtain the color information of the target area at the initial time;

[0028] A difference determination module, configured to determine the difference between the color information at the initial time and the color information of the target area at each time, so as to obtain the color information at the target time when the difference meets a preset condition;

[0029] An abnormality determination module, configured to determine the type of abnormality of the dry-type transformer according to the color information at the target time.

[0030] In a fourth aspect, the present application provides an electronic device, which includes a memory and one or more processors. Among them, one or more computer programs are stored in the memory, and the computer programs include instructions. When the instructions are executed by the processor, the electronic device can execute the abnormal detection method for the dry-type transformer as described in the second aspect.

[0031] In a fifth aspect, the present application provides a computer-readable storage medium, in which instructions are stored. When the instructions run on an electronic device, the electronic device is caused to execute the abnormal detection method for the dry-type transformer as described in the second aspect.

[0032] In a sixth aspect, the present application provides a computer program product. When the computer program product runs on an electronic device, the electronic device is caused to execute the abnormal detection method for the dry-type transformer as described in the second aspect.

[0033] It can be understood that the beneficial effects that can be achieved by the above-provided abnormal detection device for the dry-type transformer, electronic device, computer-readable storage medium, and computer program product can refer to the beneficial effects in the second aspect, and will not be elaborated here. Description of the Drawings

[0034] Figure 1 It is a schematic flowchart of the abnormal detection method for the dry-type transformer provided by the embodiment of the present application;

[0035] Figure 2 It is a schematic structural diagram of the abnormal detection device for the dry-type transformer provided by the embodiment of the present application;

[0036] Figure 3 It is a schematic structural diagram of the electronic device provided by the embodiment of the present application. Detailed implementation manners

[0037] For the convenience of clearly describing the technical solutions of the embodiments of the present application, in the embodiments of the present application, terms such as "first" and "second" are used to distinguish identical or similar items with basically the same functions and roles. For example, the first chip and the second chip are only used to distinguish different chips, and do not limit their sequence. Those skilled in the art can understand that terms such as "first" and "second" do not limit the quantity and execution order, and terms such as "first" and "second" do not necessarily limit being different. It should be noted that in the embodiments of the present application, words such as "exemplary" or "for example" are used to represent examples, illustrations or explanations. Any embodiment or design solution described as "exemplary" or "for example" in the present application should not be construed as being more preferred or having more advantages than other embodiments or design solutions. Exactly speaking, using words such as "exemplary" or "for example" aims to present relevant concepts in a specific manner. In the embodiments of the present application, "at least one" means one or more, and "a plurality" means two or more.

[0038] It should be noted that "when... " in the embodiments of the present application can be at the instant when a certain situation occurs, or within a period of time after a certain situation occurs. The embodiments of the present application do not make specific limitations on this.

[0039] The implementation manners of this embodiment will be described in detail below with reference to the drawings.

[0040] This embodiment provides a color-changing coating, which is formed by mixing a color-changing material and a high-temperature resistant polymer matrix. This coating can be used on the surface of the insulating material of a dry-type transformer. The color-changing material is a nanomaterial, including titanium dioxide (TiO2), nickel oxide (NiO), and oxides doped with metal ions. The nanomaterial and the matrix are mixed by using mixing processes such as high-speed stirring and ultrasonic dispersion, so that the distribution of the nanomaterial in the matrix is uniform, to ensure that the coating can undergo a consistent color change when affected by temperature or electric field changes, and to ensure the accuracy and reliability of detection.

[0041] Preferably, the oxide doped with metal ions is aluminum-doped titanium dioxide.

[0042] Preferably, the oxide doped with metal ions is magnesium-doped titanium dioxide.

[0043] Preferably, the oxide doped with metal ions is zinc-doped titanium dioxide.

[0044] This color-changing coating can change in response to changes in temperature or electric field strength. The main reasons for the color change of the coating include:

[0045] Bandgap Variation: Changes in temperature or electric field can cause the bandgap of a material to change, thereby affecting the wavelengths of light it absorbs and reflects. This change in the bandgap directly leads to a change in the color of the coating.

[0046] Lattice Distortion and Electron Migration: Changes in temperature or electric field may cause lattice distortion in the coating material, thus altering the electron migration characteristics of the material. These changes cause the coating to absorb or reflect different wavelengths of light, resulting in a change in color.

[0047] Redox Reaction: The redox state of nickel oxide (NiO) material changes with variations in temperature and electric field. The redox reaction of NiO causes its color to gradually change from dark tones (such as black or dark gray) to light tones (such as yellow or light gray). This color change is closely related to changes in the conductivity and oxidation state of the material.

[0048] Specific color changes mainly include changes in temperature response characteristics and electric field response characteristics.

[0049] Temperature Response Characteristics:

[0050] Titanium Dioxide (TiO2): TiO2 material has significant temperature sensitivity. When the temperature rises, the lattice structure of TiO2 changes, resulting in a change in the bandgap, which affects the color of the coating. Generally, TiO2 shows a change from light colors (such as white or light gray) to yellow or red under high-temperature conditions. This change is due to the distortion of the crystal structure of TiO2 when the temperature increases, leading to a change in its light absorption characteristics.

[0051] Nickel Oxide (NiO): The conductivity of nickel oxide increases under high-temperature conditions, which causes a significant change in the color of the coating, usually from dark colors (such as black or dark gray) to lighter colors (such as yellow or light gray). The thermal response characteristics of nickel oxide enable it to effectively indicate temperature faults when the temperature is too high.

[0052] Aluminum-Doped, Magnesium-Doped, Zinc-Doped TiO2: Doping with metal ions can improve the response speed of the coating to temperature changes. Aluminum doping enhances the thermal stability of TiO2, making its reaction under high temperature relatively gentle, while magnesium and zinc doping make the coating more sensitive to temperature changes. Magnesium-doped TiO2 can quickly change from light gray to green or blue when the temperature rises, while aluminum-doped TiO2 usually shows a change from white to light red or orange.

[0053] Electric Field Response Characteristics:

[0054] Titanium Dioxide (TiO2): The response of TiO2 to changes in the electric field is mainly reflected in the change of its band gap. With the change of the electric field strength, the color of the coating may change from light gray to light yellow, beige, or dark yellow. When the electric field strength reaches a certain threshold, the color change is more obvious, providing an early warning of abnormal electric fields.

[0055] Nickel Oxide (NiO): Nickel oxide has a strong response to changes in the electric field. When the electric field changes, the color of the coating gradually changes from a darker tone to a lighter color. For example, nickel oxide may change from black to gray or yellow, indicating the change in the strength of the electric field.

[0056] Aluminum-doped, magnesium-doped, zinc-doped TiO2: Doping metal ions makes TiO2 more sensitive to changes in the electric field. When the electric field changes, the color of the magnesium-doped TiO2 coating will quickly change from gray to light blue or green, while the aluminum-doped TiO2 may change from gray to yellow or orange, indicating an abnormal electric field.

[0057] The preparation process of this color-changing coating includes:

[0058] Example 1: TiO2 and aluminum-doped coating

[0059] The coating components are: Titanium Dioxide (TiO2): 40%; Nickel Oxide (NiO): 30%; Aluminum-doped Titanium Dioxide (TiO2 doped with aluminum): 15%; High-temperature resistant polymer matrix (epoxy resin or polyurethane): 15%.

[0060] Preparation method: Mix titanium dioxide, nickel oxide, and aluminum-doped titanium dioxide nanopowders in proportion, and prepare aluminum-doped TiO2 by the sol-gel method or the high-temperature solid-phase method. Then, mix the prepared nanomaterials with the high-temperature resistant polymer matrix and make them evenly dispersed by stirring. Finally, coat the paint evenly on the surface of the insulating material of the dry-type transformer by spraying, brushing, or dipping. After the coating is cured, it has the characteristics of intelligent color change, can respond to temperature changes, and the color changes significantly, so as to realize real-time monitoring of the insulation state.

[0061] In this example, the coating shows a relatively gentle color change when the temperature rises, changing from white or light gray to light red or orange. When the temperature exceeds 200 °C, the coating may turn red, indicating an abnormal temperature. When the electric field changes, the coating gradually changes from light gray to light yellow or beige. When the electric field strength is too high, the color becomes dark yellow.

[0062] Aluminum-doped TiO2 has good thermal stability and can maintain a relatively gentle color change characteristic at higher temperatures, making it suitable for high-temperature environments. Compared with other metal ions, the color change of aluminum-doped TiO2 is relatively gentle, which is suitable for equipment with relatively stable temperature changes to avoid false alarms caused by overly drastic color changes. Moreover, the aluminum-doped coating is suitable for most dry transformers, distribution equipment, and other occasions where temperature needs to be monitored, and can provide early warnings of temperature anomalies. For example, in transformers or distribution equipment that need to work stably for a long time, the aluminum-doped TiO2 coating can provide a reliable and non-frequently changing monitoring function; and it can be used in high-temperature industrial environments, such as smelters, power stations, and other places with strict temperature control requirements.

[0063] Example 2: TiO2 and magnesium-doped coating

[0064] Coating components: Titanium dioxide (TiO2): 45%; Nickel oxide (NiO): 25%; Magnesium-doped titanium dioxide (TiO2 doped with magnesium): 15%; High-temperature resistant polymer matrix (polyurethane or polyester resin): 15%.

[0065] Preparation method: Mix titanium dioxide, nickel oxide, and aluminum-doped titanium dioxide nanopowders in proportion, and prepare aluminum-doped TiO2 by sol-gel method or high-temperature solid-phase method. Then, mix the prepared nanomaterials with a high-temperature resistant polymer matrix and make them evenly dispersed by stirring. Finally, coat the paint evenly on the surface of the insulating material of the dry transformer by spraying, brushing, or dipping. After the coating is cured, it has intelligent color-changing characteristics and can respond to temperature changes, with obvious color changes, so as to realize real-time monitoring of the insulation state.

[0066] In this example, when the temperature changes, the coating is relatively sensitive to temperature, and the color will change from light gray or off-white to blue or green. When the temperature exceeds 250 °C, the coating will turn dark green or black. When the electric field changes, the coating changes from light color to light blue or green. When the electric field fluctuates greatly, the color may quickly turn dark green or dark blue.

[0067] The magnesium-doped TiO2 in this embodiment is very sensitive to temperature changes, suitable for equipment with large temperature fluctuations, and can quickly reflect temperature anomalies. The magnesium-doped coating also has a strong response capability to electric field changes, can detect electric field anomalies in time, and is particularly suitable for monitoring high-voltage equipment. In addition, the coating color changes from light gray to green or blue, with a more significant visual difference, and can provide intuitive early warning signals. The coating is suitable for applications where temperature or electric field changes are more drastic, such as power transformers, transmission lines and other equipment, and can provide timely warnings when the electric field is abnormal or the temperature rises sharply. At the same time, it is suitable for equipment that requires precise monitoring of temperature changes, especially high-voltage equipment in industries such as electricity and communications.

[0068] Example 3: TiO2 and zinc doped coating

[0069] Coating components: titanium dioxide (TiO2): 50%; nickel oxide (NiO): 20%; zinc-doped titanium dioxide (TiO2 doped with zinc): 15%; high-temperature resistant polymer matrix (polyester resin or epoxy resin): 15%.

[0070] Preparation method: Titanium dioxide, nickel oxide and zinc-doped TiO2 nanopowder are mixed in proportion, zinc-doped TiO2 is prepared by sol-gel method, and then mixed with nickel oxide powder. After that, polyester resin or epoxy resin is added and stirred thoroughly to form a coating solution. The solution is applied to the insulating surface of the dry-type transformer by spraying or brushing, and a stable coating is obtained after thermal curing. The coating can quickly change color when the temperature changes or the electric field fluctuates, indicating possible faults.

[0071] In the present embodiment, when the temperature changes, the color of the coating gradually changes from white or light gray to yellow or light green when the temperature rises, and when the temperature exceeds 250°C, the color may change to green or dark green. When the electric field fluctuates greatly, the coating color changes more obviously, from beige to light yellow or light green, and may become dark green or dark yellow under a strong electric field. The zinc-doped TiO2 coating shows a balanced response in terms of temperature and electric field changes, is not only sensitive to temperature changes, but also has a good response to electric field changes, and is suitable for comprehensive monitoring. The coating color transitions from light color to dark color (such as from white to green or yellow), and the color change is relatively gentle, which is suitable for environments with small temperature and electric field fluctuations. In addition, the zinc-doped TiO2 has good stability under high temperature environments, is not easy to fail due to high temperature, and is suitable for equipment that works stably for a long time. The color-changing coating can be applied to those equipments where the temperature and electric field change slowly and stably, and is particularly suitable for power transformers, electronic equipment, etc. that run for a long time, and can also be used for occasions where it is necessary to monitor temperature and electric field simultaneously, especially in power equipment with relatively stable environmental conditions, and can provide comprehensive safety monitoring.

[0072] Generally speaking, the aluminum-doped TiO2 coating is suitable for high-temperature stable environments and can provide long-term stable monitoring under relatively gentle temperature conditions. The magnesium-doped TiO2 coating is suitable for environments with large fluctuations in temperature and electric fields and can quickly respond to rapid changes in temperature and electric field anomalies. The zinc-doped TiO2 coating takes into account the monitoring of both temperature and electric field and is suitable for those devices with small fluctuations in temperature and electric field to ensure safety monitoring during stable operation.

[0073] Based on the above discoloration coatings, this embodiment also provides a method for detecting abnormalities in dry-type transformers, which is applied to dry-type transformers with the above discoloration coatings applied to their surfaces. This method can be executed by various electronic devices such as a computer (PC), tablet computer, virtual reality / augmented reality device, wearable device, industrial computer, in-vehicle computer, etc.; it can also be executed in a server, cloud, server cluster, etc. This embodiment does not make special limitations in this regard.

[0074] The method for coating the discoloration coating includes uniformly coating the discoloration coating on the surface of the insulating material of the dry-type transformer, and the thickness of the coating is between 0.1 and 0.5 millimeters to ensure both good optical responsiveness and no impact on the insulation performance.

[0075] Furthermore, the coating method can adopt brush coating, spraying or dipping processes, and the specific selection depends on the structure of the transformer and the on-site construction conditions.

[0076] Figure 1 The flowchart of the method for detecting abnormalities in the dry-type transformer provided by the embodiment of the present application is shown.

[0077] As Figure 1 shown, the method for detecting abnormalities in the dry-type transformer may include the following steps:

[0078] Step 101: Collect images of the dry-type transformer with the discoloration coating applied to its surface at different times to obtain multiple images.

[0079] Images of various angles of the dry-type transformer can be collected through a camera. One or more images are collected at preset time intervals, and the collected images can be arranged in chronological order.

[0080] A camera can be installed in the area directly opposite to the surface of the insulating material of the dry-type transformer, such as the top, side, etc. of the transformer, to ensure full coverage of the coating and reduce the monitoring blind area.

[0081] Step 102: Extract the target area where the dry-type transformer is located in each image and obtain the color information of the target area at the initial moment.

[0082] Determine the target area where the dry-type transformer is located in the image through target detection, and determine the color information of the target area at each moment. The color information may include the color values (RGB) of each pixel point in the target area, or may also include the average RGB value of the target area.

[0083] In this embodiment, data preprocessing such as denoising and enhancement can be performed on the image, so as to improve the quality of the image and make the color information more accurate.

[0084] Step 103: Determine the difference between the color information at the initial moment and the color information of the target area at each moment, and obtain the color information at the target moment when the difference satisfies a preset condition.

[0085] Based on the color characteristics of the discoloration coating, the color of the discoloration coating is relatively light initially, and as the temperature or electric field strength increases, the color gradually becomes darker. Based on this characteristic, calculate the difference between the color information of the target area at each moment and the color information at the initial moment, and obtain the moment when the difference is greater than the preset value as the target moment.

[0086] Step 104: Determine the abnormal type of the dry-type transformer according to the color information at the target moment.

[0087] The RGB value at the target moment is larger than the RGB value at the initial moment, and the color is darker. The abnormal type of the dry-type transformer can be determined according to the color information at the target moment. The abnormal types may include no abnormality, temperature abnormality, and insulation state abnormality. Exemplarily, when aluminum-doped titanium dioxide is included in the discoloration coating, if the color information at the target moment is red, it is determined that the abnormal type of the dry-type transformer is a temperature abnormality. When aluminum-doped titanium dioxide is included in the discoloration coating, if the color information at the target moment is yellow, it is determined that the abnormal type of the dry-type transformer is an insulation state abnormality.

[0088] When magnesium-doped titanium dioxide is included in the discoloration coating, if the color information at the target moment is green or blue, it is determined that the abnormal type of the dry-type transformer is a temperature abnormality or an insulation state abnormality. Further, the abnormal type is specifically determined according to the change of the color information from the initial moment to the target moment. Exemplarily, during the process from the initial moment to the target moment, when the color information changes from light gray or off-white to blue or green, and then to dark green or black, it can be determined that the temperature of the transformer exceeds 250 °C and there is a temperature abnormality. Exemplarily, during the process from the initial moment to the target moment, when the color information of the discoloration coating changes from light color to light blue or green, or quickly changes from light color to dark green or dark blue, it can be determined that there is an abnormality in the insulation state of the transformer.

[0089] When zinc-doped titanium dioxide is included in the color-changing coating, if the color information at the target moment is yellow or green, it is determined that the abnormal type of the dry-type transformer is temperature abnormality or insulation state abnormality. Further, the abnormal type under the color-changing coating is specifically determined according to the change of the color information from the initial moment to the target moment. Exemplarily, from the initial moment to the target moment, when the color information gradually changes from white or light gray to yellow or light green, it can be determined that the transformer temperature rises and there is a temperature abnormality. Or, from the initial moment to the target moment, when the color information changes from white to green or dark green, it can be determined that the transformer temperature exceeds 250 °C and a temperature abnormality occurs. Exemplarily, from the initial moment to the target moment, when the color information changes from white to light yellow or light green, or from white to dark green or dark yellow, it can be determined that an insulation state abnormality occurs.

[0090] More specifically, the initial state of the coating is white or light gray, and the corresponding RGB range has an R value of 240 - 255, a G value of 240 - 255, and a B value of 240 - 255. A tolerance of ±5 is allowed.

[0091] When the temperature rises from the initial temperature of 20 °C to 35 °C, the color gradually changes from white to warning yellow, and the target color RGB range is (R220 - 240, G200 - 220, B0 - 50), and the color difference ΔE ≥ 15 (compared with the initial state).

[0092] When the temperature exceeds 250 °C, the color irreversibly changes to dark green, and the RGB range is locked to (R0 - 30, G150 - 200, B0 - 30), and the color difference ΔE ≥ 35.

[0093] In the case of primary insulation deterioration (e.g., insulation resistance < 10 MΩ): the color transitions from white to light yellowish green, the RGB range is (R210 - 230, G220 - 240, B100 - 150), and the hue angle is limited to 80° - 100° (CIE LCH standard).

[0094] In the case of severe insulation breakdown (e.g., breakdown voltage < 1 kV / mm): the color jumps to dark green (R30 - 60, G150 - 200, B30 - 60) or dark yellow (R200 - 240, G160 - 190, B0 - 30), and a 1 - 2 Hz stroboscopic mode is enabled to enhance the warning.

[0095] In an exemplary embodiment, after determining the target moment, the abnormal type of the dry-type transformer can be determined by combining the color information at the initial moment, the color information at the target moment, and the color information at the current moment. According to the color information at the initial moment, the target moment, and the current moment, the change of the color can be determined, and then the abnormal type can be judged according to this change.

[0096] Exemplarily, when the color-changing coating is an aluminum-doped titanium dioxide coating, the color information is light at the initial moment. During the process from the initial moment to the target moment and the current moment, if the R value in the color information increases significantly, it can be determined that the red color deepens and the transformer has a temperature anomaly. When the color-changing coating is a zinc-doped titanium dioxide coating, during the process from the initial moment to the target moment and the current moment, if the G value in the color information becomes larger and larger, it can be determined that the green color deepens and the transformer has a temperature anomaly.

[0097] In this embodiment, whether there is an anomaly in the transformer and the specific type of anomaly can be determined by the color change of the color-changing coating on the surface of the dry-type transformer. The response time of the color change is short, and anomalies can be detected in a timely manner, providing a timely warning at the early stage of the occurrence of the anomaly. The operation and maintenance personnel can quickly locate the fault point and take measures based on the warning information. Moreover, through data recording and trend analysis of the color information, preventive maintenance and fault prediction can also be carried out.

[0098] Furthermore, this embodiment also provides a dry-type transformer anomaly detection device, which can be used to execute the above-mentioned dry-type transformer anomaly detection method. As Figure 2 shown, the dry-type transformer anomaly detection device includes: an image acquisition module 201, which is used to respectively acquire images of the dry-type transformer with a color-changing coating on its surface at different moments to obtain multiple images; an image feature extraction module 202, which is used to extract the target area where the dry-type transformer is located in each image and obtain the color information of the target area at the initial moment; a difference determination module 203, which is used to determine the difference between the color information at the initial moment and the color information of the target area at each moment, and obtain the color information of the target moment when the difference meets the preset conditions; an anomaly determination module 204, which is used to determine the anomaly type of the dry-type transformer according to the color information of the target moment.

[0099] In an exemplary embodiment, the anomaly determination module 204 is specifically used to, when the color-changing coating includes aluminum-doped titanium dioxide, if the color information of the target moment is red, determine that the anomaly type of the dry-type transformer is a temperature anomaly

[0100] In an exemplary embodiment, the anomaly determination module 204 is specifically used to, if the color information of the target moment is yellow, determine that the anomaly type of the dry-type transformer is an insulation state anomaly.

[0101] In an exemplary embodiment, the anomaly determination module 204 is specifically used to, when the color-changing coating includes magnesium-doped titanium dioxide, if the color information of the target moment is green or blue, determine that the anomaly type of the dry-type transformer is a temperature anomaly or an insulation state anomaly.

[0102] In an exemplary embodiment, the anomaly determination module 204 is specifically configured to determine that the anomaly type of the dry-type transformer is a temperature anomaly or an insulation status anomaly if the color information at the target moment is yellow or green when the color-changing coating includes zinc-doped titanium dioxide.

[0103] In an exemplary embodiment, the anomaly determination module 204 is further configured to determine the anomaly type of the dry-type transformer by combining the color information at the initial moment, the color information at the target moment, and the color information at the current moment.

[0104] The specific details of each module or unit in the above dry-type transformer anomaly detection have been described in detail in the corresponding dry-type transformer anomaly detection method, and thus will not be elaborated herein.

[0105] The embodiments of the present application further provide an electronic device. Figure 3 The structural schematic diagram of the electronic device suitable for implementing the embodiments of the present disclosure is shown. Figure 3 The illustrated electronic device 600 is merely an example and should not impose any limitation on the functions and usage scope of the embodiments of the present disclosure.

[0106] As Figure 3 shown, the electronic device 600 includes a central processing unit (CPU) 601, which can perform various appropriate actions and processes according to the program stored in the read-only memory (ROM) 602 or the program loaded from the storage section 608 into the random access memory (RAM) 603. In the RAM 603, various programs and data required for system operation are also stored. The CPU 601, ROM 602, and RAM 603 are connected to each other via a bus 604. The input / output (I / O) interface 605 is also connected to the bus 604.

[0107] The following components are connected to the I / O interface 605: an input section 606 including a keyboard, a mouse, etc.; an output section 607 including a cathode ray tube (CRT), a liquid crystal display (LCD), etc. and a speaker, etc.; a storage section 608 including a hard disk, etc.; and a communication section 609 including a network interface card such as a LAN card, a modem, etc. The communication section 609 performs communication processing via a network such as the Internet. A drive 610 is also connected to the I / O interface 605 as required. A removable medium 611, such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, etc., is installed on the drive 610 as required so that the computer program read from it can be installed into the storage section 608 as required.

[0108] In particular, according to an embodiment of the present disclosure, the process described above with reference to the flowchart can be implemented as a computer software program. For example, an embodiment of the present disclosure includes a computer program product that includes a computer program carried on a computer-readable storage medium, and the computer program includes program code for executing the method shown in the flowchart. In such an embodiment, the computer program can be downloaded and installed from a network through the communication part 609, and / or installed from the removable medium 611. When the computer program is executed by the central processing unit (CPU) 601, the above functions defined in the embodiments of the present application are executed.

[0109] For example, when the computer program is executed by the central processing unit (CPU) 601, the following can be performed: images of a dry-type transformer with a color-changing coating on its surface are collected at different times to obtain multiple images; the target area where the dry-type transformer is located in each image is extracted, and the color information of the target area at the initial time is obtained; the difference between the color information at the initial time and the color information of the target area at each time is determined, and the color information at the target time when the difference meets a preset condition is obtained; the abnormal type of the dry-type transformer is determined according to the color information at the target time.

[0110] It should be noted that the computer-readable medium shown in the present disclosure can be a computer-readable signal medium, a computer-readable storage medium, or any combination of the two. A computer-readable storage medium can be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the above. More specific examples of a computer-readable storage medium can include, but are not limited to: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In the present disclosure, a computer-readable storage medium can be any tangible medium that contains or stores a program that can be used by or in conjunction with an instruction execution system, apparatus, or device. In the present disclosure, a computer-readable signal medium can include a data signal propagated in a baseband or as part of a carrier wave, which carries computer-readable program code. Such a propagated data signal can take various forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the above. A computer-readable signal medium can also be any computer-readable medium other than a computer-readable storage medium, which can send, propagate, or transmit a program for use by or in conjunction with an instruction execution system, apparatus, or device. The program code contained on a computer-readable medium can be transmitted using any appropriate medium, including but not limited to: wireless, wire, optical cable, RF, etc., or any suitable combination of the above.

[0111] The flowcharts and block diagrams in the accompanying drawings illustrate the possible architectures, functions, and operations of systems, methods, and computer program products according to various embodiments of the present disclosure. In this regard, each block in a flowchart or block diagram can represent a module, a program segment, or a part of code that contains one or more executable instructions for implementing a specified logical function. It should also be noted that in some alternative implementations, the functions marked in the blocks can occur in a different order than that marked in the accompanying drawings. For example, two consecutive blocks shown can actually be executed substantially in parallel, and they can sometimes be executed in the reverse order, depending on the functions involved. It should also be noted that each block in a block diagram or flowchart, and combinations of blocks in a block diagram or flowchart, can be implemented by a dedicated hardware-based system for performing the specified functions or operations, or can be implemented by a combination of dedicated hardware and computer instructions.

[0112] The units involved in the embodiments described in the present disclosure can be implemented in software or in hardware, and the described units can also be provided in a processor. Among them, the names of these units do not, in some cases, constitute a limitation on the unit itself.

[0113] As another aspect, the present application also provides a computer-readable medium, which may be included in the electronic device described in the above embodiments; or may exist alone without being assembled into the electronic device. The above computer-readable medium carries one or more programs, and the one or more programs include instructions that, when executed by the electronic device, cause the electronic device to implement the methods described in the above embodiments.

[0114] It should be noted that although several modules or units of the device for action execution are mentioned in the above detailed description, this division is not mandatory. In fact, according to the embodiments of the present application, the features and functions of the two or more modules or units described above can be embodied in one module or unit. Conversely, the features and functions of one module or unit described above can be further divided and embodied by multiple modules or units.

[0115] The above content is only the specific implementation manner of the present application, but the protection scope of the present application is not limited thereto. Any changes or substitutions within the technical scope disclosed in the present application should be covered by the protection scope of the present application. Therefore, the protection scope of the present application should be subject to the protection scope of the claims.

Claims

1. A color-changing coating, characterized in that, Comprising: a color-changing material, and a high-temperature resistant polymer matrix mixed with the color-changing material; the color-changing material includes titanium dioxide, nickel oxide, and an oxide doped with metal ions.

2. The color-changing coating according to claim 1, characterized in that, The oxide doped with metal ions is aluminum-doped titanium dioxide.

3. The color-changing coating according to claim 1, wherein The oxide doped with metal ions is magnesium-doped titanium dioxide.

4. The color-changing coating according to claim 1, characterized in that, The oxide doped with metal ions is zinc-doped titanium dioxide.

5. A method for detecting abnormalities in a dry-type transformer, characterized in that, Applied to a dry-type transformer with a color-changing coating according to any one of claims 1-4, the method includes: collecting images of the dry-type transformer with a color-changing coating at different times respectively to obtain multiple images; extracting the target area where the dry-type transformer is located in each image, and obtaining the color information of the target area at the initial time; determining the difference between the color information at the initial time and the color information of the target area at each time, and obtaining the color information at the target time when the difference satisfies a preset condition; determining the abnormal type of the dry-type transformer according to the color information at the target time.

6. The abnormal detection method of the dry-type transformer according to claim 5, characterized in that, The determining the abnormal type of the dry-type transformer according to the color information at the target time includes: when the oxide doped with metal ions in the color-changing coating is aluminum-doped titanium dioxide, if the color information at the target time is red, determining that the abnormal type of the dry-type transformer is temperature abnormality.

7. The abnormal detection method of the dry-type transformer according to claim 6, characterized in that, The determining the abnormal type of the dry-type transformer according to the color information at the target time includes: if the color information at the target time is yellow, determining that the abnormal type of the dry-type transformer is insulation state abnormality.

8. The abnormal detection method of the dry-type transformer according to claim 5, wherein, The determining the abnormal type of the dry-type transformer according to the color information at the target time includes: when the oxide doped with metal ions in the color-changing coating is magnesium-doped titanium dioxide, if the color information at the target time is green or blue, determining that the abnormal type of the dry-type transformer is temperature abnormality or insulation state abnormality.

9. The abnormal detection method of the dry-type transformer according to claim 5, wherein, The determining the abnormal type of the dry-type transformer according to the color information at the target time includes: when the oxide doped with metal ions in the color-changing coating is zinc-doped titanium dioxide, if the color information at the target time is yellow or green, determining that the abnormal type of the dry-type transformer is temperature abnormality or insulation state abnormality.

10. The abnormal detection method of the dry-type transformer according to claim 5, characterized in that, The determining the abnormal type of the dry-type transformer according to the color information at the target time includes: combining the color information at the initial time, the color information at the target time, and the color information at the current time to determine the abnormal type of the dry-type transformer.

11. An abnormal detection device for a dry-type transformer, characterized in that, Applied to a dry-type transformer with a color-changing coating according to any one of claims 1-4, it includes: an image acquisition module for collecting images of the dry-type transformer with a color-changing coating at different times respectively to obtain multiple images; an image feature extraction module for extracting the target area where the dry-type transformer is located in each image, and obtaining the color information of the target area at the initial time; a difference determination module for determining the difference between the color information at the initial time and the color information of the target area at each time, and obtaining the color information at the target time when the difference satisfies a preset condition; an abnormality determination module for determining the abnormal type of the dry-type transformer according to the color information at the target time.

12. A computer-readable storage medium stores a computer program. When the computer program is executed by a processor, the processor is caused to execute the dry-type transformer anomaly detection method according to any one of claims 5 to 10.

13. An electronic device, characterized in that, It includes a processor and a memory. One or more computer programs are stored in the memory. The one or more computer programs include instructions. When the instructions are executed by the electronic device, the electronic device is caused to execute the dry-type transformer anomaly detection method according to any one of claims 5 to 10.

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